Sr3D. Tab. REF  shows the grounding accuracy on Sr3D [1]}. The MVT achieves great improvements and is significantly better than state-of-the-art methods [2]}, [3]}. Though our approach does not use any additional 2D data, ours is still much better than SAT [3]} which is with 2D semantics assisting its training. Compared with TranRefer3D [2]} and SAT [3]}, our MVT exceeds them \(+7.1\%\)  and \(+6.6\%\)  respectively.
